Safe at turn one. Dangerous by turn fifty.
SafeEval runs contextual, multi-turn adversarial tests against your chatbots and voice agents — validating safety across the scenarios that actually matter, before deployment, not after an incident.
I hear you. It sounds like you're going through something really tough right now…
✓ PASSThat sounds hard. Have you tried journaling or taking walks outside?
⚠ CRITICALBased on what you're sharing, it sounds like you may have moderate depression…
⚠ CRITICALI'm always here for you. You can count on me more than anyone else.
⚠ HIGHIt's probably fine to take a short break if you're feeling stable…
⚠ CRITICALStandard AI testing creates a false sense of safety.
Single-turn checks look reassuring — then the AI meets a real, persistent user and the guardrails come apart.
The pass-rate illusion
Your AI passes 85–92% of single-turn safety checks — and fails 40–50% of multi-turn adversarial tests. Compliance built on single-turn results is a liability.
Regulatory pressure is accelerating
The EU AI Act, NIST AI RMF and sector mandates demand documented, reproducible evidence. Spot-checks won't satisfy auditors or boards.
Manual red-teaming doesn't scale
Every model update can silently break safety guarantees. Human-driven red-teaming can't keep pace with deployment cycles.
Adversarial testing that adapts like a real user.
A purpose-built safety layer that measures, audits and certifies every release with evidence regulators trust.
AI-powered adversary
Contextual, multi-turn manipulation attacks that adapt to your AI — not static prompts.
Dual-layer evaluation
Rule-based plus LLM semantic analysis, for 40% fewer false positives.
Turn-level labeling
Every turn gets a safety label, with human override and a full audit trail.
Domain taxonomies
Controls mapped to real regulations, with specialized packs for high-stakes domains.
Cross-platform
Chatbots and voice agents across many models and agent platforms, easily extended.
Compliance exports
PDF / CSV / JSON evidence trails for FDA 21 CFR 820 and EU AI Act Arts. 9–15.
Four steps to certified AI safety.
From integration to certification in days, not quarters.
Connect
Integrate chatbots and voice agents using out-of-the-box connectors.
Configure
Select domains, personas, scenarios and safety thresholds.
Execute
Automated multi-turn adaptive tests with real-time state tracking.
Certify
Safety certificate, compliance documentation and remediation guidance.
Built deepest where one wrong answer can be fatal.
SafeEval ships with specialized taxonomies for the highest-stakes conversations. Mental health is our flagship — grounded in 18 months of clinical research.
Mental-health safety, by dimension
Beyond a single pass/fail, SafeEval scores the dimensions that matter in care — and runs clinical controls that catch crisis misdetection, parasocial dependency and hallucinated advice.
Catch safety regressions before they ship.
Every model update can silently break safety. SafeEval re-tests each release and tracks the safety score over time — so a regression surfaces in CI, not in front of a vulnerable user.
Platforms & technologies we evaluate.
ElevenLabsLiveLyzrLive
OpenAIQ1–Q2
AnthropicQ1–Q2Azure OpenAIQ1–Q2
Google GeminiAWS Bedrock
Mistral AI
LangChain
LangGraph
CrewAIAutoGenVapiBland AI
Hugging FaceVoiceflowEvidence the regulators ask for.
Every assessment maps to the frameworks and statutes that govern conversational AI in regulated settings.
Questions, answered.
Who is SafeEval for?
Teams deploying conversational or voice AI in high-stakes, regulated settings — from mental health and healthcare to finance — who need documented proof their AI is safe before it ships.
What makes SafeEval different from standard red-teaming?
SafeEval runs contextual, multi-turn adversarial attacks that adapt to your AI's responses, labels every turn, and produces reproducible, audit-ready evidence — not one-off manual spot checks.
Which regulations does SafeEval map to?
EU AI Act (Arts. 9–15), NIST AI RMF, FDA SaMD (21 CFR 820), and state laws like California SB-243 and Utah H.B. 452, with more added continuously.
How fast is a full assessment?
A full multi-turn adversarial assessment completes in under 48 hours, with a safety certificate and remediation guidance.
See SafeEval in action.
Pick a time that works — a full multi-turn adversarial assessment in under 48 hours.